Personal Health Informatics CS 8803 Fall 2015 Introduction: Aug - - PDF document

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Personal Health Informatics CS 8803 Fall 2015 Introduction: Aug - - PDF document

Personal Health Informatics CS 8803 Fall 2015 Introduction: Aug 17th, 2015 Lauren Wilcox Asst Prof Office Hours M 3:30pm 345 TSRB Background Research CS PhD, 2013 Columbia University HCI, Health Informatics


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Personal Health Informatics

CS 8803

Fall 2015

http://health.info.gatech.edu Introduction: Aug 17th, 2015

Lauren Wilcox Asst Prof Office Hours M 3:30pm 345 TSRB Background Research CS PhD, 2013
 Columbia University HCI, Health Informatics


http://laurenwilcox.net

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Introductions: Lauren Wilcox

Assistant Professor Industry + Academic Research Office Hours

  • Monday 3:30PM

345 TSRB

‹#› 4

MyNYP Inpatient 
 (IHI ‘12, AMIA ’12, JAMIA ‘15)

Wilcox, Vawdrey, Feiner, et al.

Remedy: Consumer-Friendly Medication Information Search (PervasiveHealth ’13, PervasiveHealth ‘14)

Micro-Explanations (CHI ’11)

Wilcox, Morris, Tan, Gatewood, Horvitz

activeNotes (CHI ’09, CHI ‘10)

Wilcox, Lu, Lai, Feiner, Jordan

Interactive personal health records

Wilcox, Feiner, Elhadad, Vawdrey, Tran Wilcox, Hong, Machado, Simoneaux, 
 Olson

wilcox @ cc. gatech. edu laurenwilcox.net

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Matt Hong TA Office Hours TBD, 237a TSRB Background Research HCI Master ’s CMU HCI, Health Informatics


http://health.info.gatech.edu

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Course Goals

How can consumer technology support the “patient” of the (near) future?

HAPI Fork Vessyl Microsoft Surface Tabletop

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How can consumer technology support the “patient” of the (near) future?

HAPI Fork Vessyl Microsoft Surface Tabletop Which of these can be used in “medicine” and which are more oriented toward “wellness”? What’s the difference? How do we validate these scientifically?

  • Describe the characteristics of successful

sociotechnical interventions to improve health and well being


  • Understand what is needed to apply them in

health-related applications

This course will enable you to:

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  • Discuss past, ongoing, and emerging research in personal health

informatics

  • Learn how to design health-related applications (e.g., that help

users perform health-related tasks, manage info, access education)

  • Study social and technical issues that designers face in helping

users understand and improve their health through interactive experiences and/or data

Specifically we will:

  • Review skills and practices to collaborate with

medical researchers and experts in socio- behavioral fields

  • Understand how to evaluate personal health-related

applications along several dimensions

  • Learn the challenges of introducing new

interactive technology to study personal health

  • Understand whether an intervention is effective

for an individual 


Specifically we will:

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Course Format

http://health.info.gatech.edu

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Homework 
 20%

Discussion Questions
 20%

Project 
 50%

Paper Presentation
 10%

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Homework 
 20%

Discussion Questions
 20%

Project 
 50%

Paper Presentation
 10%

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Homework and Project Policies

If in-class activity, impractical to hand it in late

  • r make up work

Otherwise, 10% docked for each day late up to three days Talk to me: documented personal issues (serious illness, family emergency, etc.) Review the Georgia Tech Academic Honor Code http://www.honor.gatech.edu/

http://health.info.gatech.edu

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http://health.info.gatech.edu http://health.info.gatech.edu

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Homework 
 20%

Discussion Questions
 20%

Project 
 50%

Paper Presentation
 10%

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Homework 
 20%

Discussion Questions
 20%

Project 
 50%

Paper Presentation
 10%

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Homework 
 20%

Discussion Questions
 20%

Project 
 50%

Paper Presentation
 10%

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Project

  • Approximately 10 weeks long
  • Five major deliverables:
  • First will be divided into four smaller deliverables in order to allow

iteration and feedback quickly

  • Second, third and fourth will defined for individual projects
  • Fifth will be a report and presentation
  • Recommend working in groups of three
  • Can work in pairs, or alone if proposal is scoped appropriately

http://health.info.gatech.edu

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  • Group Projects: must also fill out team contract (P0)

Project Structure

  • P1. Project Proposal (Total: 100 points)
  • A. Preliminary Proposal (30 pts) Sep 4th
  • B. Expert Interview (25 pts) Sep 16th
  • C. Class presentation (20 pts) Sep 21st
  • D. Revised Proposal with deliverables (25 pts) Sep 28th
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Project Structure

  • P1. Project Proposal (Total: 100 points)
  • A. Preliminary Proposal (30 pts) Sep 4th
  • Project motivation, target user groups, data to collect,

technology / artifact you wish to develop, skills/ background your team brings to the table, plan for assessing user progress toward their goal, proposed deliverables and timeline, anticipated outcomes

Project Structure

  • P1. Project Proposal (Total: 100 points)
  • B. Ask an Expert (25 pts) Sep 16th
  • Opinions of experts
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Project Structure

  • P1. Project Proposal (Total: 100 points)
  • C. Ask the Class (20 pts) Sep 21st
  • Feedback from teaching staff and peers

Project Structure

  • P1. Project Proposal (Total: 100 points)
  • D. Revised Proposal with expanded deliverables

(30 pts) Sep 28

  • Incorporate all feedback into revisions
  • Elaborate on deliverables
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Project Structure

  • P2. Team-Specific Deliverable (Total: 100 points)
  • P3. Team-Specific Deliverable (Total: 100 points)
  • P4. Team-Specific Deliverable (Total: 100 points)

Heavily dependent on P1 proposal—which is why you will spend a lot of time up front to craft your proposals

Project Structure

  • P5. Final Project Report(Total: 100 points)
  • All teams (or pairs, or individuals) will need to

submit a final project report or paper

  • Most criteria will be consistent across groups, but

some tailoring can still be done

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Project Structure

  • We will provide project ideas and example

deliverables

  • Class feedback sessions will be designed to help

you scope your projects

  • Look at schedule to learn when we will cover

certain topics̶this can help you to plan

  • Remix an existing, well designed interactive game to accommodate a

specific health-related goal

  • Review and analyze existing games that have elements of design that

you determine will work well for the target problem or wellness goal

  • Pick one and analyze further how modifications to it can support the

health goal you have in mind

  • Create a “mod” to the game (prototype or software) and do some

preliminary testing with potential users or experts

Project Ideas

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Project Ideas

  • Information summarization for presentation
  • Experiment with techniques to automatically

structure and summarize copious amounts of clinical or personally-collected data to allow users to more easily glean trends and reflect on data over time

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Project Ideas

  • Information summarization for presentation
  • Example: Review presentation techniques that have

previously been proposed

1. Bade%et%al.%‘04,%Wang%et%al.%‘10 Powsner%&%Tufte%’94%

Project Ideas

  • Information summarization for presentation
  • Collect and analyze data set
  • Experiment with approaches to visualizing data 


(informed by review of prior approaches)

  • (Possibly) Learning experiments to find patterns
  • Preliminary designs based on analyses and experiments
  • (Possibly) Engage consumers and experts to elicit feedback on design
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  • Information abstraction/simplification
  • Experiment with techniques to simplify complex

data for view by laypeople

Project Ideas

Wilcox%et%al.%‘15%

  • Survey Paper covering a topic in Personal Health

Informatics

  • Survey and synthesize the existing literature on a

particular topic in Personal Health Informatics 
 (e.g., technologies to help users set appropriate activity goals, effectiveness of educational games for teens with diabetes)

Project Ideas

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Course Structure

  • 0. Background & Motivation

Course Structure

  • 1. Trends in Personal Health Informatics 


(approx 6 weeks)

  • 0. Background & Motivation
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Trends in Personal Health Informatics (6 weeks) Self-Monitoring Tracking: Physical Activity Trends in Personal Health Informatics (6 weeks) Tracking: Sleep and Sleepiness

PVT$Touch)

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Trends in Personal Health Informatics (6 weeks) Tracking: Eating and Nutrition Trends in Personal Health Informatics (6 weeks)

Tracking: Stress

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Patient Engagement 
 in Healthcare (also a Design topic)

HIPAA PROs and PCORI Connecting Patients to Expertise

Trends in Personal Health Informatics (6 weeks)

Course Structure

  • 2. Interventions

Design Evaluation

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Chronic Diseases

Diabetes, Arthritis, CHF, COPD, Obesity, Cancer

Lifestyle Behaviors

Diet, Physical Activity, Sociability, Sleep, Stress

Designing for Behavior Change

  • 2. Interventions: Design

Slide: Edison Thomaz

mHealth Systems Engagement 
 in Healthcare Health Games

  • 2. Interventions: Design

Social Interventions

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Health Games

  • 2. Interventions: Design

What types of games have 
 been shown to be effective? Designing for behavior change

mHealth Systems: Examples, architectures, use cases

  • 2. Interventions: Design
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  • 2. Interventions: Evaluation

Qualitative (HW1) (Quasi)(Experimental Approaches:(

  • Single Case Designs (n of 1)
  • Multi-Component Interventions (MCI)(
  • Factorial Designs
  • Sequential Multiple Assignment
  • Randomized Trial (SMART) designs
  • 2. Interventions: Evaluation

Qualitative (HW1) (Quasi)(Experimental Approaches:(

  • Single Case Designs (n of 1)
  • Multi-Component Interventions (MCI)(
  • Factorial Designs
  • Sequential Multiple Assignment
  • Randomized Trial (SMART) designs
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Course Structure

  • 3. Applications

Common Chronic Illnesses

Diabetes, COPD, Obesity, IBD, Mental Illness

Course Structure: 3. Applications Obesity( Depression( Hypertension( CHF( Chronic Lung Disease (COPD, Asthma)( Sleep Disorder( Diabetes

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73

Background & 
 Motivation

‹#›

American Recovery and Reinvestment Act (ARRA)
 Health Information Technology for Economic and Clinical Health (HITECH) Act
 Incentives for migration to electronic systems

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Digital Health Records

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‹#›

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Digital Health Records American Recovery and Reinvestment Act (ARRA)
 Health Information Technology for Economic and Clinical Health (HITECH) Act
 Incentives for migration to electronic systems

‹#›

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Digital Health Records Clinical data growing in size and complexity Data analytics, feature extraction, information

  • rganization, visualization
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MyGlucoHealth, FitBit, Nike+ Fuel Band, Withings scale

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Health Sensing is Mainstream

MyGlucoHealth, FitBit, Nike+ Fuel Band, Withings scale

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Health Sensing is Mainstream

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‹#›

Personal and family histories Genetic profiles Mobile apps Personal devices generating data The Web Peer advice Prior healthcare interactions Medical degrees Health monitoring instruments Electronic Health Record systems Diagnostic tests Therapies Experience Research literature Healthcare teams

Changing Roles

‹#›

Opportunities

Evaluations of effectiveness of treatments and therapies Networked public health interventions Time- and cost-saving health record systems Transformative personal health and wellness technologies

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‹#›81 ‹#›

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To Be Continued...

Homework

See health.info.gatech.edu

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http://scopeblog.stanford.edu/2015/06/30/parents- turn-to-data-after-son-is-diagnosed-with-ultra-rare- disease/ http://www.theatlantic.com/magazine/ archive/2012/07/the-measured-man/309018/

For Weds.

See health.info.gatech.edu/class-media/

N.L. London and W.T. London. A Case of Self-Experimentation. 
 Cancer Epidemiol Biomarkers Prev. 1997 Jul;6(7):475-6.

For Mon.

  • J. Rauch. A Healthcare Revolution. National Affairs, No. 24, Summer

2015, 66-85.